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PENALIZED LOG-LIKELIHOOD ESTIMATION FOR PARTLY LINEAR TRANSFORMATION MODELS WITH CURRENT STATUS DATA1
ANNALS OF STATISTICS, no. 5 (2005): 2256-2290
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Abstract
We consider partly linear transformation models applied to current status data. The unknown quantities are the transformation function, a linear regression parameter and a nonparametric regression effect. It is shown that the penalized MLE for the regression parameter is asymptotically normal and efficient and converges at the parametric ...More
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